Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

334
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
334
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

25
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
25
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

265
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
265
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

577
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
577
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

352
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
352
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

763
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
763

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Modern Environment and Childhood Asthma: The Role of Air Pollution and Heavy Metal Exposure.

Current allergy and asthma reports·2026
Same author

Public distrust in physicians and healthcare utilization: a nationwide study in China.

BMC health services research·2026
Same author

A novel approach for achieving high enrichment of anammox and nitrogen removal rate in municipal wastewater treatment: A pure biofilm process.

Water research·2026
Same author

Post-TPS needle placement planning for robotic-assisted LDR seed brachytherapy.

Frontiers in oncology·2026
Same author

Catastrophic health expenditure and commercial health insurance purchase: evidence from China.

BMC health services research·2026
Same author

Interface-driven electronic synergy in delta-phase and alpha-phase manganese dioxide heterostructures for sustainable room-temperature formaldehyde oxidation.

Journal of colloid and interface science·2026
Same journal

Multiphysics Investigation on Thermal Characteristics of Internal Bio-Inspired V-Ribbed Cooling Channels for Outer Rotor PMSM.

Biomimetics (Basel, Switzerland)·2026
Same journal

Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Systematic Taxonomy of the Sunflower Optimization Algorithm: Variants, Hybridization Strategies, Applications, and Research Directions.

Biomimetics (Basel, Switzerland)·2026
Same journal

Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.

Biomimetics (Basel, Switzerland)·2026
Same journal

Empirical Logic for Bio-Inspired Soft Computing: Illustrative Applications in Control Engineering and Cluster Analysis.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Modified Multi-Strategy Dhole Optimization Algorithm and Its Engineering Applications.

Biomimetics (Basel, Switzerland)·2026
See all related articles
  1. Home
  3. Robot Task-constrained Optimization And Adaptation With Probabilistic Movement Primitives.
  1. Home
  3. Robot Task-constrained Optimization And Adaptation With Probabilistic Movement Primitives.

Related Experiment Video

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.4K

Robot Task-Constrained Optimization and Adaptation with Probabilistic Movement Primitives.

Guanwen Ding1, Xizhe Zang1, Xuehe Zhang1

  • 1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.

Biomimetics (Basel, Switzerland)
|December 27, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a method for robots to learn skills from human demonstrations and adapt to various task constraints using Probabilistic Movement Primitives (ProMPs). This enables more flexible and efficient robot operation in manufacturing settings.

Keywords:
human–robot skill transferlearning from demonstrationmovement adaptationprobabilistic movement primitivestask-constrained optimization

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.6K

Related Experiment Videos

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.4K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.6K

Area of Science:

  • Robotics
  • Machine Learning
  • Artificial Intelligence

Background:

  • Robots in manufacturing require skill learning and adaptation for efficiency.
  • Movement Primitives (MPs) are key for encoding robot skills.
  • Probabilistic Movement Primitives (ProMPs) offer enhanced flexibility through movement distributions.

Purpose of the Study:

  • To develop a method for learning MPs from limited human demonstrations.
  • To enable robots to adapt learned skills to diverse task constraints like waypoints, joint limits, and obstacles.
  • To improve robot adaptability and efficiency in manufacturing.

Main Methods:

  • Learning Probabilistic Movement Primitives (ProMPs) from a small number of human demonstrations.
  • Utilizing an improved via-point generalization for smooth trajectory generation.
  • Employing a task-constrained optimization method incorporating constraints analytically into a probabilistic framework.
  • Minimizing Kullback-Leibler (KL) divergence using gradient ascent-descent for ProMP optimization.
  • Developing a unified robot movement adaptation method for single and multiple obstacles.

    • Main Results:

    • Successful learning of robot skills from minimal human input.
    • Effective adaptation of movements to various task constraints including dynamic obstacles.
    • Demonstrated generalization of smooth trajectories with encoded ProMPs.
    • Validation of the approach on a 7-DOF Xarm robot through extensive experiments.

    Conclusions:

    • The proposed method enables robots to learn and adapt skills efficiently from human demonstrations.
    • This approach enhances robot flexibility and applicability in complex manufacturing environments.
    • The framework provides a robust solution for task-constrained robot movement adaptation.